Technical Product Manager, Applied Science – AI Products

Job summary

The Technical Product Manager will own the roadmap and delivery of AI agents, evaluation frameworks, and agentic memory within the Caseware platform. They will act as a subject matter expert proxy, validating AI outputs against professional audit standards and collaborating with engineering and applied science teams.

Job details

The Technical Product Manager will own the roadmap and delivery of AI agents, evaluation frameworks, and agentic memory within the Caseware platform. They will act as a subject matter expert proxy, validating AI outputs against professional audit standards and collaborating with engineering and applied science teams. Candidates must have 6+ years of experience in product management, with at least 3-4 years focused on AI or machine learning products. Strong technical fluency in LLMs, RAG, and agentic patterns is required, along with the ability to drive delivery across cross-functional technical teams.

What you’ll do

The Technical Product Manager will own the roadmap and delivery of AI agents, evaluation frameworks, and agentic memory within the Caseware platform. They will act as a subject matter expert proxy, validating AI outputs against professional audit standards and collaborating with engineering and applied science teams.

Requirements

Candidates must have 6+ years of experience in product management, with at least 3-4 years focused on AI or machine learning products. Strong technical fluency in LLMs, RAG, and agentic patterns is required, along with the ability to drive delivery across cross-functional technical teams.

Benefits

• Health insurance
• Retirement plans
• Performance bonuses
• Career growth opportunities
• Flexible work options
• Generous time-off policies

Listed skills

• Product management · Preferred
• Quality assurance · Preferred
• Data analysis · Preferred
• Machine learning · Preferred
• prompt engineering · Preferred
• Stakeholder Management · Preferred
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Product management
• Artificial intelligence
• Machine learning
• LLMs
• RAG
• Prompt engineering
• Agentic patterns
• Evaluation frameworks
• Product roadmap
• Stakeholder management
• Technical leadership
• Data analysis
• Financial audit
• Software development
• Cross-functional collaboration
• Quality assurance

Job areas

• Technology
• Software
• Data & Analytics
• Finance & Accounting
• Management & Leadership

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